GritTec's Speaker-ID: Automatic Text Independent Speaker
Identification (Version 4.10) is intended for automatic voice identification or voice verification of a speech
signal of unknown speaker by paired comparing with speech signal of target speaker.
Designed algorithm of speaker identifications is based on duel
comparison spectra features of unknown voice with the spectra
features of target voice. Spectra features are calculated with
provision of dynamic determinations of channel distortion level and
external hindrances and noises.
It allows to compensate channel distortion and influences of external hindrances with comparing spectra features, put into the
original speech signal. Sensitivity to identifications is defined by the level of installing the thresholds of probability of errors 1-th
(False Rejection Rate (FRR)) and 2-th (False Acceptance Rate (FAR)) sort. Possibility of regulation of thresholds of FRR and FAR allows to adjust a process of identification flexibly in accordance with system safety requirements.
At the moment the GritTec's Speaker-ID engine are realized in software solution of voice identification
with GUI interface - GritTec Speaker-ID: The mobile client.

For an estimation accuracy of GritTec's Speaker-ID engine in mode of voice verification it was used voices of 25
target speakers (12 - males, 13 - females) for English language. Each target speaker was
trained separately for CELL and VOIP channel. It was used 50 files for training, 25 files - for CELL channel and
25 files - for VOIP channel. Each trained file contained 12 phrases
of a random digit numbers (from 0 to 5) with the common duration ~ (40-50) seconds.

The total of files used for verification in CELL and VOIP channels
was 31950, where 30195 files with voices of imposter speakers, and 1755 files with voices of target speakers. Each
verified file contained 1 phrase of a random digit numbers (from 0 to 6) with the common duration ~ (4-6) seconds.

The program with GUI interface which is used for automatic voice identification of a speech signal of unknown speaker by paired comparing with speech signal of target speaker. This software product may be interest for centers of criminalistics, polices, call centers and the banks which purpose is text independent voice identification of unknown audio phonogram of telephone negotiations. To learn more details.